I’m a Ph.D.‑trained computational biophysicist/neuroscientist who builds scientific software, biomedical imaging pipelines, and AI systems; from mechanistic neuron/astrocyte modeling to agentic automation (MCP/n8n), MLOps, and analytics.
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Deep-Learning-Based Segmentation of Cells and Analysis (DL-SCAN).
Biomolecules 2024, 14, 1348.
https://doi.org/10.3390/biom14111348
Local Differences in Baseline Sodium Shape Astrocytic Potassium Uptake by the NKA.
bioRxiv.
https://doi.org/10.1101/2025.11.18.687951
"Alok has been consistently demonstrating exceptional skills and producing valuable work addressing significant challenges in biophysics and neuroscience... Alok has particularly strong skills in computer programming, developing, optimizing, and analyzing biophysical simulations, statistical analysis of large datasets, and Machine Learning techniques, all of which demonstrate his value in both academic and industrial settings."
"From the outset, Alok stood out both for his technical expertise and problem-solving mindset... Additionally, Alok played a key role in coordinating with the deployment team, and the model he trained was ultimately the one deployed."
"I had the pleasure of working with Alok during his internship at iCardio.ai, where he demonstrated exceptional technical capabilities and professional maturity... He incorporated the model into our MLOps development framework and worked to conduct thorough evaluations using our metrics suite, showcasing both his technical depth and attention to detail."
Email: alokkbh26@gmail.com
GitHub: github.com/banalok
LinkedIn: linkedin.com/in/alokbhattarai